code: def test_array_to_numpy_na():
      # GH#40638
      arr = pd.array([pd.NA, 1], dtype="string[python]")
      result = arr.to_numpy(na_value=True, dtype=bool)
      expected = np.array([True, True])
      tm.assert_numpy_array_equal(result, expected)
  
imports: import datetime
  import decimal
  import re
  import numpy
  import pytest
  import pytz
  import pandas
  import pandas._testing
  from pandas.api.extensions import register_extension_dtype
  from pandas.arrays import BooleanArray, DatetimeArray, FloatingArray, IntegerArray, IntervalArray, SparseArray, TimedeltaArray
  from pandas.core.arrays import NumpyExtensionArray, period_array
  from pandas.tests.extension.decimal import DecimalArray, DecimalDtype, to_decimal
label_desc: Use image node_id 11 for calling a global function with example usage: test_array_to_numpy_na() without return types